Lead Technical Program Manager, Applied AI - Markets Operations
Lead a governed agentic AI platform’s delivery in JP Morgan’s Markets Operations, owning release calendars, cross-team dependencies, and metrics frameworks for production systems. Bridge engineering, product, controls, and operations to ensure safe, measurable releases while defining industry-leading measurement standards for agentic systems.
- Compensation
- Not disclosed
- Location
- LONDON, United Kingdom
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Experience running parallel technical workstreams to a shared milestone in a large organization, ideally in a regulated, high-stakes environment
- Technical fluency across software delivery, data, and AI systems, including ability to follow architecture discussions and assess delivery risk
- Experience designing a metrics framework from first principles for unmeasured work, distinguishing activity from outcome measures
- Proven ability to secure commitments from cross-functional teams through credibility and clear accountability
- Strong executive communication skills to translate complex technical delivery to sponsors
- Willingness to challenge assumptions when evidence is lacking, while maintaining delivery momentum
Nice to have
- Exposure to AI or agentic systems in production, including understanding of their unique measurement challenges
- Experience delivering platform/infrastructure programs for internal engineering/operations teams
- Experience partnering with controls/risk/internal audit on technology delivery evidence
- Familiarity with markets/banking/transaction-heavy operational processes
- Experience deriving delivery reporting directly from engineering systems
Full description
Join a team rebuilding Markets Operations on a governed agentic platform that is already running critical processes in production. You will lead delivery across parallel platform components, connecting engineering, product, controls, and operations to land releases safely and predictably. This is a senior, hands-on role where you own the single release calendar, unblock dependencies, and make progress and impact measurable. You will help define how we measure agentic systems in production and defend those measures with senior sponsors. If you want to drive outcomes, not just produce status reporting, this role is built for you.
As a Lead Technical Program Manager in Applied AI within Markets Operations, you will own the delivery of a governed agentic platform portfolio from planning through release and migration into live operational solutions. You will keep the critical path current, drive cross-team dependencies to closure, and surface trade-offs with clear recommendations. You will define and own a practical metrics framework for delivery, platform health, and business impact, and translate that story to sponsors with evidence that stands up to technical, controls, and audit scrutiny. You will participate in architecture discussions, read decision records, and independently assess whether delivery confidence is supported by evidence.
Job Responsibilities
- Own the single release calendar across all platform component streams, keeping dependencies, milestones, and the critical path explicit, current, and actionable.
- Maintain an end-to-end dependency map across engineering, product, design, controls, and operations partners, and hold commitments recorded in it.
- Surface delivery risks and slippage early, driving issues to resolution with clear recommendations and trade-offs.
- Run an effective delivery cadence (planning, checkpoints, and working forums) that stream leads prepare for and rely on.
- Coordinate release and migration sequencing into live solutions so changes do not break running operational processes in production.
- Define and own a metrics framework covering delivery progress, platform quality and performance, and business impact. The instrumentation for measuring agentic systems is immature across the industry, so expect to build the framework rather than run one you are handed.
- Ensure attribution is evidence-based, assigning issues to the correct pipeline stage, tiering severity consistently, and validating claims before escalation.
- Report outcomes (for example, effort returned to the business and autonomy progression) alongside delivery status, stating clearly where instrumentation does not yet support a claim.
- Own the cadence, content, and narrative for sponsor and senior management reporting, communicating what shipped, what it is worth, what was learned, and what is at risk.